The Australasian Data Mining Conference
3 December 2002, University House, ANU, Canberra
Conjunction with the 15th
Conference Website (this page): http://www.togaware.com/ausdm02
To register for this conference please register for the AI02 conference and include this conference in your registration ($110) or else register just for the conference ($330). Please visit AI02 for details.
The conference will run from 9am to 5pm in the Meeting Room, University House, Australian National Univeristy. This is a pleasant 10-15 minute walk from the conference hotel (Rydges Lakeside). Lunch and morning/afternoon tea is provided for conference registrants.
The Australasian Data Mining Conference is devoted to the art and science of data mining: the analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners.
The Conference Proceedings are available online and are being published by Springer-Verlag as part of the Lecture Notes in Computer Science series, having been reviewed by an international panel of experts in data mining.
Data mining projects involve both the utilisation of established algorithms from machine learning, statistics, and database systems, and the development of new methods and algorithms, targeted at large data mining problems. Nowadays data mining efforts have gone beyond crunching databases of credit card usage or stored transaction records. They have been focusing on data collected in the health care system, art, design, medicine and biology and other areas of human endeavour.
This conference aims to bring together researchers and industry practitioners from different data mining groups in Australia and the region and to provide a forum for presenting and discussing their latest research and development in the area. The conference will facilitate the cross-disciplinary exchange of ideas.
A key focus of the conference will be on the application domains for data mining, including, but certainly not limited to, Health Services Research, Electronic Market Systems, Environmental Research, Financials.
Topics of interest
The major topics of the conference include but are not limited to
We encourage submissions of `greenhouse' work, which present early stages of a cutting-edge research and development. Software demonstrations are also welcome. The format of the conference will accommodate full paper presentations and short presentations about a work in progress, overview of a data mining group or software demonstration.
The length of the submissions is not restricted. We encourage submissions of 10-15 pages. The first page of your submission should include the paper title; author name(s) and affiliation, address, email; keywords; and abstract. Electronic submissions in either PDF, PS, RTF or Microsoft Word Document format are preferable. Please, e-mail electronic submissions to firstname.lastname@example.org with subject "AusDM02 Submission".
Peer-reviewed papers, accepted for presentation at the conference will be published in the conference proceedings. Depending on the quality of the papers and presentations, an edited collection of longer contributions, is planned to be published either as a special issue of related journal or as an edited book, under the title "Discovering Data Mining in Australasia".
|Conference day:||3 December 2002|
|Simeon J Simoff||University of Technology, Sydney|
|Graham J Williams||Togaware|
|Markus Hegland||Australian National University|
|Sergei Ananyan||Megaputer Intelligence||Rohan Baxter||CSIRO Canberra|
|John Debenham||University of Technology, Sydney|
|Vladimir Estivill-Castro||Giffith University|
|Eibe Frank||University of Waikato|
|Paul Kennedy||University of Technology, Sydney|
|Inna Kolyshkina||Pricewaterhouse Coopers|
|Kevin Korb||Monash University|
|Xuemin Lin||University of NSW|
|Warwick Graco||Health Insurance Commision|
|Ole Nielsen||Australian National University|
|Tom Osborn||NUIX Pty Ltd, and The NTF Group|
|Chris Rainsford||CSIRO Canberra|
|John Roddick||Flinders University|
|David Skillicorn||University of Queens|
|Dan Steinberg||Salford Systems|
Further information from email@example.com or Graham.Williams@togaware.com.